Horseracing Neural Usa

This project provides a set of Python tools for creating various kinds of neural networks, which can also be powered by genetic algorithms using grammatical evolution. MLP, backpropagation, recurrent, sparse, and skip-layer networks are supported.

SNARLI (Simple Neural ARchitecture LIbrary) is a Java package containing a back-prop layer class and classes for the Self-Organizing Map and Incremental Growing Grid. The back-prop class supports sigma-pi connections and back-prop-through-time.

Genre: Kids & Learning About Crosscountry USA Photo Safari Set out on a fascinating mission to find & photograph endangered animals. Visit more than 100 cities & towns as you drive around the USA. Watch out for speed traps & highway hazards! Vivid graphics & hundreds of photos make this...


Platforms: Mac

Genre: Kids & Learning About Crosscountry USA 2 You re at the wheel of a transport truck picking up & delivering cargo around the country. Watch out for speed traps & highway hazards! Challenge yourself with this fun way to learn about the USA. Crosscountry USA 2 helps develop valuable skills...


Platforms: Mac

OVERVIEW “Shape of the USA” is an animated state shape recognition game. State shapes are shown at random, along with four state names and four state capitals. The object of the game is to choose which name and capital matches the state shape. The ga


Platforms: Mac

IMPORTANT: The module reassigns the orders_id based on the customer id and the customer cart id. That allows the script to send a short, yet unique invoice number to USA ePay BEFORE the orders_id gets created with the auto_increment. As soon as the row is inserted, the usaepay payment module will...


Platforms: Windows, *nix, PHP, BSD

Given a neural network object, this function returns the closed, symbolic, expression implemented by the network (as a string).This allows you to use a neural network model without relying on the neural network toolbox.Note I only implemented for feed forward nets (MLPs) and not all possible...


Platforms: Matlab

This add-in to the PSO Research toolbox (Evers 2009) aims to allow an artificial neural network (ANN or simply NN) to be trained using the Particle Swarm Optimization (PSO) technique (Kennedy, Eberhart et al. 2001).This add-in acts like a bridge or interface between MATLABd-deOaos NN toolbox and...


Platforms: Matlab

Implements the Complex Method of Constrained Optimization, as proposed by Box (1965), improved by Guin (1968) and Krus (1992), and following the method in Andresson (2001). This is capable of optimizing a "black-box" system with few constraints on the optimization function and requiring no...


Platforms: Matlab

This project provides matlab class for implementation of convolutional neural networks. This networks was developed by Yann LeCun and have sucessfully used in many practical applications, such as handwritten digits recognition, face detection, robot navigation and others (see references for more...


Platforms: Matlab

Character Recognition Using Neural NetworksSteps to use this GUI.1. Open the GUI figure, run it. (accept the matlab to change its directory to new location where the file is stored)2. First we need to teach Character to computer. For this type the Character in the textbox space provided and press...


Platforms: Matlab

Cellular neural networks (CNN) are a parallel computing paradigm similar to neural networks, with the difference that communication is allowed between neighbouring units only.in this system, 'A' template is feedback matrix, and 'B' template is control matrix.also, 'I' is Bias value.all image...


Platforms: Matlab

This code implements the basic back propagation of error learning algorithm. the network has tanh hidden neurons and a linear output neuron, and applied for predicting y=sin(2pix1)*sin(2pix2).We didn't use any feature of neural network toolbox.


Platforms: Matlab

The attached zip file contains what is needed to implement a two layer neural network. This will hopefully be the first part of a broader collection of neural network tools.It can be used to train and simulate a NN with two layers, an input layer and an output layer. The output layer's activation...


Platforms: Matlab

-Compatible with pre-2010 vers. of Matlab and Neural network toolbox-Trains a perceptron for the spring and one for the damper. -Runs a simulation with forcing function and noise.-If you don't have the toolbox, you can still use my back-propagation.


Platforms: Matlab

The extended Kalman filter can not only estimate states of nonlinear dynamic systems from noisy measurements but also can be used to estimate parameters of a nonlinear system. A direct application of parameter estimation is to train artificial neural networks. This function and an embeded example...


Platforms: Matlab

This is a learning model for matrix-based data. It can be more efficient than standard vector-based models when the training sample is small or the inputs are matrices, since this model has less parameters than standard ones and exploits an inner structure of the inputs. This model can be...


Platforms: Matlab

We introduce an algorithm based on the morphological shared-weight neural network. Being nonlinear and translation-invariant, the MSNN can be used to create better generalization during face recognition. Feature extraction is performed on grayscale images using hit-miss transforms that are...


Platforms: Matlab

The matrix implementation of the two-layer Multilayer Perceptron (MLP) neural networks.The matrix implementation of the MLP and Backpropagation algorithm for two-layer Multilayer Perceptron (MLP) neural networks.Marcelo Augusto Costa FernandesDCA - CT - UFRNmfernandes@dca.ufrn.br


Platforms: Matlab

Again I'm uploading my homework...This is a GUI which enables to load images and train a Hopfield network according to the image.You can run the network on other images (or add noise to the same image) and see how well it recognize the patterns.Hopfield neural networks simulate how a neural...


Platforms: Matlab